Atomic-level, large-scale structure prediction of G protein-coupled receptors
Atomic-level, large-scale structure prediction of G protein-coupled receptors
批准号:
8233525
负责人:
Yang Zhang
金额:
$31.59万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-05-01 至 2014-02-28
关键词:
AcetylcholineAdrenergic AgentsAdrenergic ReceptorAlgorithmsAmino Acid SequenceArchitectureBacteriorhodopsinsBenchmarkingBiological ProcessBiologyCattleCell Surface ReceptorsChemicalsCollaborationsCommunitiesComputational algorithmComputersComputing MethodologiesDataDatabasesDevelopmentDiseaseDopamineDrug Delivery SystemsDrug DesignEukaryotic CellFamilyFeedbackG-Protein-Coupled ReceptorsGTP-Binding ProteinsGenerationsGoalsHistamineHumanIntegral Membrane ProteinKnowledgeLengthLigand BindingLigandsLiteratureMedicalMembrane ProteinsMethodologyMethodsModelingMolecularMuscarinic Acetylcholine ReceptorMuscarinicsMutagenesisPharmaceutical PreparationsPharmacologic SubstancePhysicsPhysiologicalPlant RootsPreclinical Drug EvaluationProceduresProtein FamilyProteinsProteomeProteomicsPublic HealthRelative (related person)ResolutionRhodopsinRoleScientistScreening procedureSideSignal TransductionSite-Directed MutagenesisSpeedStagingStructureTestingValidationVariantVertebral columnWeightadrenergicbasechemokinedatabase structuredesigndrug discoveryextracellularfightingimprovedknowledge basemembermodels and simulationprotein activationprotein structurereceptorrepositoryresearch studyrestraintsuccessthree dimensional structureuser-friendlyvirtualweb site
中文摘要
描述/项目总结
英文摘要
Description/Project Summary
G protein-coupled receptors (GPCRs) are the largest family of integral membrane proteins that
occur in nearly every eukaryotic cell to transduce an extracellular signal (ligand binding) into an
intracellular signal (G protein activation). This essential physiological role makes them the most
important pharmaceutical targets which comprise approximately half of today's modern medicinal
drugs. Clearly, 3D-structures of GPCRs would provide essential atomic-level information for
elucidating the molecular organization and for efficient virtual screening of drug databases. However,
except for the recently solved human beta2-andrenergic receptor, it has not yet been possible to
obtain experimental structural information for other human GPCRs. Building on the recent success of
the threading assemble refinement (TASSER) algorithm for reduced-level GPCR modeling, this
proposal seeks to develop new computational methodologies for the generation of experiment-
validated, atomic-level GPCR models. The focus will be on five pharmaceutically important families
including Adrenergic, Chemokine, Dopamine, Histamine, and Muscarinic acetylcholine.
Specific aims of the project are: (1) Development and benchmarking of a new GPCR-TASSER
algorithm for atomic-level GPCR protein structure modeling. (2) Development and optimization of
composite atomic and reduced GPCR potentials. (3) Dissemination of GPCR-TASSER algorithm for
public use and examination. (4) Application of GPCR-TASSER to the pharmaceutically important
GPCRs. (5) Validation and refinement of the GPCR models with experiment collaborators.
The long-term goals are (a) to develop a set of computer algorithms for automated and atomic-
level GPCR structure prediction (b) to extend the methodology to proteomic-scale structure modeling
for all GPCRs in UniProt database (c) to construct a central repository for publicly-accessible GPCR
algorithms and structure databases which are designed to eventually alleviate the urgent need in
biology and medical communities for the detailed atomic GPCR structures.
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